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most citedA dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments

6 citations · 10 across the 5 of their papers we have counts for

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cs.LG2022★ 2 cited

Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach

Arpan Biswas, Rama Vasudevan, Maxim Ziatdinov +1

Unsupervised and semi-supervised ML methods such as variational autoencoders (VAE) have become widely adopted across multiple areas of physics, chemistry, and materials sciences du…